Detail-preserving image information restoration guided by SVM based noise mapping
Digital Signal Processing
Space-Time Adaptation for Patch-Based Image Sequence Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification-based spatial error concealment for visual communications
EURASIP Journal on Applied Signal Processing
Fast image restoration using the multi-layer best neighborhood matching approach
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
International Journal of Computer Vision
Image restoration based on Laplacian preprocessed long-range correlation
Multidimensional Systems and Signal Processing
A Simple, General Model for the Affine Self-similarity of Images
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Spatial error concealment: A novel exemplar-based approach using segmentation
Computers and Electrical Engineering
Refined spatial error concealment with directional entropy
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Structural similarity-based affine approximation and self-similarity of images revisited
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Unsupervised patch-based image regularization and representation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Blotch detection and removal for archive video restoration
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
A two-step watermarking attack using long-range correlation image restoration
Security and Communication Networks
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
SIAM Journal on Imaging Sciences
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A new class of image information restoration algorithms, virtually different from traditional techniques, is proposed. In comparison with other approaches, our methods use not only the information in local areas, but also that in the remote regions of the image. The methods originate from the idea that there exists abundant long-range correlation within natural images and the human vision system, composed of our eyes and brains, can sufficiently utilize such types of information redundancy to implement the functions of image interpretation, representation, restoration, enhancement and error concealment. Our general approach can be summarized as five basic steps: fetching, searching, matching, competing and recovering. The experimental results on several practical applications show that our methods perform substantially better than many other state-of-the-art methods